A bio-inspired acoustic sensor system for UAS navigation and tracking

Rohan Kapoor, Subramanian Ramasamy, Alessandro Gardi, Roberto Sabatini

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations


The concept of a bio-inspired navigation system using acoustic sensors is presented and various possible approaches for its effective integration in Remotely Piloted Aircraft Systems (UAS) are investigated. Acoustic sensors can have useful applications in UAS obstacle detection and localization, especially in Global Navigation Satellite System (GNSS) denied environments. Taking inspiration from echolocating mammals, especially bats, novel navigation techniques are presented employing both multistatic and monostatic acoustic sensors. Laboratory experiments are presented in which a small array of transmitters provides input data to a multilateration receiver. Based on the positive results of these initial experiments, various possible approaches are investigated for integration of the proposed echolocation techniques in a multi-sensor UAS Navigation and Guidance System (NGS) and in an Acoustic Laser Obstacle Avoidance (ALOA) system for Separation Assurance and Collision Avoidance (SA&CA).

Original languageBritish English
Title of host publication2017 IEEE/AIAA 36th Digital Avionics Systems Conference, DASC 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538603659
StatePublished - 8 Nov 2017
Event36th IEEE/AIAA Digital Avionics Systems Conference, DASC 2017 - St. Petersburg, United States
Duration: 17 Sep 201721 Sep 2017

Publication series

NameAIAA/IEEE Digital Avionics Systems Conference - Proceedings
ISSN (Print)2155-7195
ISSN (Electronic)2155-7209


Conference36th IEEE/AIAA Digital Avionics Systems Conference, DASC 2017
Country/TerritoryUnited States
CitySt. Petersburg


  • acoustic sensors
  • echolocation
  • navigation
  • tracking
  • Unmanned Aerial Vehicle (UAV)
  • Unmanned Aircraft System (UAS)


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